Neural network-based flight control systems: Present and future

SA Emami, P Castaldi, A Banazadeh - Annual Reviews in Control, 2022 - Elsevier
As the first review in this field, this paper presents an in-depth mathematical view of
Intelligent Flight Control Systems (IFCSs), particularly those based on artificial neural …

Dynamic event-triggered adaptive neural output feedback control for MSVs using composite learning

G Zhu, Y Ma, Z Li, R Malekian… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the control issue of marine surface vehicles (MSVs) subject to
internal and external uncertainties without velocity information. Utilizing the specific …

APF-based intelligent navigation approach for USV in presence of mixed potential directions: Guidance and control design

G Zhang, J Han, J Li, X Zhang - Ocean Engineering, 2022 - Elsevier
This paper investigates the real-time intelligent navigation approach for unmanned surface
vehicle (USV), considering constraints of the randomly moving target and multiple static or …

Event-triggered finite-time tracking control of underactuated MSVs based on neural network disturbance observer

S Yu, J Lu, G Zhu, S Yang - Ocean Engineering, 2022 - Elsevier
In this work, a trajectory tracking control issue is discussed for the underactuated marine
surface vessels (MSVs) with uncertain dynamic and unknown external disturbances. In the …

Event-triggered adaptive fuzzy tracking control for a class of fractional-order uncertain nonlinear systems with external disturbance

X You, M Shi, B Guo, Y Zhu, W Lai, S Dian… - Chaos, Solitons & Fractals, 2022 - Elsevier
In this paper, we are dedicated to addressing the event-triggered adaptive fuzzy tracking
control problem for a class of fractional-order nonlinear systems (FONSs) with uncertainty …

Adaptive dynamic surface asymptotic tracking control of uncertain strict‐feedback systems with guaranteed transient performance and accurate parameter estimation

W Shi, M Hou, G Duan, M Hao - International Journal of Robust …, 2022 - Wiley Online Library
In this article, an adaptive dynamic surface control approach is proposed for uncertain strict‐
feedback systems (SFSs) to guarantee both the prescribed transient tracking performance …

Adaptive NN tracking control for uncertain MIMO nonlinear system with time-varying state constraints and disturbances

S Lu, M Chen, Y Liu, S Shao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
In this article, an adaptive neural network (NN) tracking control scheme is proposed for
uncertain multi-input–multi-output (MIMO) nonlinear system in strict-feedback form subject to …

Finite-time command filter-based adaptive fuzzy tracking control for stochastic nonlinear induction motors systems with unknown backlash-like hysteresis

S Kang, PX Liu, H Wang - Journal of the Franklin Institute, 2022 - Elsevier
In this article, an adaptive fuzzy control method is proposed for induction motors (IMs) drive
systems with unknown backlash-like hysteresis. First, the stochastic nonlinear functions …

Neuroadaptive dynamic surface control for induction motors stochastic system based on reduced-order observer

E Zhao, J Yu, J Liu, Y Ma - ISA transactions, 2022 - Elsevier
This paper studies an observer-based neural network position tracking control scheme for
induction motors system operating under a field-oriented control scheme with the problem of …

Decentralized adaptive fuzzy finite-time event-triggered control for interconnected nonlinear systems subject to input saturation

M Li, CK Ahn, Z Xiang - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
This article investigates the decentralized adaptive finite-time command filter control for
interconnected nonlinear systems subject to input saturation by event-triggered (ET) output …